{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transformer 基础\n",
    "\n",
    "本笔记介绍 Transformer 架构的基本概念和实现。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 导入自定义模块\n",
    "import sys\n",
    "sys.path.append('../src')\n",
    "\n",
    "from utils.visualization import plot_attention_weights"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Transformer 架构概述\n",
    "\n",
    "Transformer 是一种基于自注意力机制的神经网络架构，由 Vaswani et al. 在 2017 年提出。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 自注意力机制\n",
    "\n",
    "自注意力机制是 Transformer 的核心组件。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 示例代码将在这里添加"
   ]
  }
 ],
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